水下放电信号分析中的小波选择方法

IF 1.7 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Eurasip Journal on Advances in Signal Processing Pub Date : 2023-10-24 DOI:10.1186/s13634-023-01065-4

Xiaobing Zhang, Binjie Lu, Liang Qiao

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引用次数: 0

摘要

水下放电信号的分析对水下放电信号的应用具有重要意义。基于小波的水下放电信号去噪分析技术是研究水下放电信号的有效手段。小波的选择是小波分析精度的关键。本文提出了一种小波选择方案。根据信号特性和实际噪声，构造参考目标信号和噪声信号，保证小波性能评价的准确性。选取相关系数、均方根误差、信噪比和平滑度作为评价指标，采用变异系数法进行融合。选取最优小波对水下导线放电信号进行处理。结果表明，该方案是可行的、实用的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A wavelet selection scheme in underwater discharge signal analysis

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A wavelet selection scheme in underwater discharge signal analysis

Abstract The analysis of underwater discharge signals is of great significance for its application. Wavelet-based de-noising and analysis technology is an effective means to study underwater discharge signals. The selection of wavelets is the key to the accuracy of wavelet analysis. A scheme of wavelet selection is provided in this paper. Based on the signal characteristics and actual noise, the reference target signal and noisy signal are constructed to ensure the accuracy of wavelet performance evaluation. Cross-correlation coefficient, root mean square error, signal-to-noise ratio, and smoothness are chosen as evaluation indexes and fused by the coefficient of variation method. The selected optimal wavelet is used to process the underwater wire-guided discharge signals. The results show that the scheme is feasible and practical.

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来源期刊

Eurasip Journal on Advances in Signal Processing ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

3.40

自引率

10.50%

发文量

109

审稿时长

3-8 weeks

期刊介绍： The aim of the EURASIP Journal on Advances in Signal Processing is to highlight the theoretical and practical aspects of signal processing in new and emerging technologies. The journal is directed as much at the practicing engineer as at the academic researcher. Authors of articles with novel contributions to the theory and/or practice of signal processing are welcome to submit their articles for consideration.